This course prepares you for ISACA’s Advanced in AI Audit (AAIA) certification, and more importantly, prepares you to actually do the work. You will learn to assess AI governance structures, build AI-specific risk registers, test models for bias, evaluate MLOps controls, investigate AI incidents, and write findings that survive management challenge. You will learn by auditing a company, not by watching slides.
Every concept in this course is applied to MediTrust AI Inc., a fictional healthcare AI company operating six AI systems across a four-hospital health system — radiology diagnostics, clinical NLP, revenue cycle, clinical trial matching, workforce scheduling, and pharmacovigilance.
The story starts where real AI audit programs usually start: with an incident. A regulatory inspection found that MediTrust’s radiology AI showed a 23% higher false-negative rate for Black patients in mammography screening. The board has mandated a comprehensive AI audit program. You are the lead AI auditor, reporting to the VP of Internal Audit, and you are building that program from nothing.
